Data Science Intern

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Responsibilities:

• Assist in the development and implementation of data-driven solutions to complex business problems.
• Conduct data analysis and modeling to identify trends, patterns, and insights.
• Clean, prepare, and process large datasets for analysis.
• Collaborate with cross-functional teams to identify and optimize business opportunities.
• Develop and maintain data pipelines and tools for efficient data ingestion, processing, and visualization.
• Present findings and recommendations to key stakeholders in a clear and concise manner.
• Stay informed on the latest trends and advancements in the field of data science.

Requirements:

• Should be familiar with NLP, Generative AI, LLMs, RAG (preferable)
• Strong analytical thinking and problem-solving skills.
• Proficiency in programming languages such as Python and R.
• Knowledge of Pandas, Scikit learn, Tensorflow. PyTorch.
• Experience with data preprocessing, cleansing, and validation techniques.
• Familiarity with data visualization tools and libraries.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Attention to detail and ability to handle multiple projects simultaneously.

Education:

• Currently pursuing a Bachelor's or Master's degree in (Data Science / Computer Science / Statistics / or a related field.

Compensation and Benefits

• Competitive internship stipend.
• Opportunity to learn from experienced professionals.
• Exposure to real-world projects.
• Potential for full-time employment after successful completion of the internship.